feat: add model switching support to think, agent_graph, swarm and use_llm tools #117
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- Add model provider modules for bedrock, anthropic, litellm, llamaapi, ollama, openai - Enhance think tool with model_provider, model_settings, and thinking_system_prompt parameters - Enhance use_llm tool with model switching capabilities - Add model utilities for dynamic model creation and configuration - Update tests to work with new @tool decorator approach - Support environment-based model configuration - Maintain backward compatibility with existing behavior
…del configuration - Convert agent_graph.py from TOOL_SPEC to @tool decorator format - Add per-node model provider and configuration support in agent_graph - Add tools parameter for security isolation and role-based access control - Convert swarm.py from TOOL_SPEC to @tool decorator format - Add model_provider, model_settings, and tools parameters to swarm - Update use_llm calls to new direct parameter format - Enhance documentation with comprehensive examples and usage patterns - Update all corresponding tests for new function signatures - Maintain backward compatibility while adding new capabilities Co-authored-by: AI Assistant
10 tasks
18 tasks
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New PR is here: #143 |
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Summary
This PR adds model provider switching capabilities to
think,use_llm,agent_graph, andswarmtools while migrating them from TOOL_SPEC to @tool decorator pattern.Changes Made
New Model Provider System:
bedrock,anthropic,litellm,llamaapi,ollama,openaiutils/models.pyfor dynamic model creation and configurationTool Enhancements:
think: Addedmodel_provider,model_settings,thinking_system_promptparametersuse_llm: Migrated to @tool decorator, added model switchingagent_graph: Migrated to @tool decorator, added per-node model configurationswarm: Migrated to @tool decorator, added swarm-wide model controlSecurity & Access Control:
toolsparameter to all enhanced tools for security isolationTechnical Details
All new parameters are optional with backward-compatible defaults:
Model providers are loaded dynamically based on the
model_providerparameter. Configuration can be set via environment variables or passed directly inmodel_settings.Use Cases
Testing
Files Changed
src/strands_tools/models/- New model provider modules (6 files)src/strands_tools/utils/models.py- Model factory and utilitiessrc/strands_tools/think.py- Enhanced with model switchingsrc/strands_tools/use_llm.py- Migrated to @tool + model switchingsrc/strands_tools/agent_graph.py- Migrated to @tool + per-node modelssrc/strands_tools/swarm.py- Migrated to @tool + swarm modelsBackward Compatibility
100% backward compatible. All existing tool calls work unchanged. New parameters are optional and use environment-based defaults.
Related
Addresses issues;
#74 - Multi-model support request
#20 - Unable to use custom LLM providers with tools like swarm, agent_graph, workflow
PS: Workflow tool is not in this list of changes.
Previous PR closed due messy git history, #110